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cs.RO2025
Curriculum Imitation Learning of Distributed Multi-Robot Policies
Jesús Roche, Eduardo Sebastián, Eduardo Montijano
Learning control policies for multi-robot systems (MRS) remains a major challenge due to long-term coordination and the difficulty of obtaining realistic training data. In this wor…
eess.SY2025
Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games
Eduardo Sebastián, Maitrayee Keskar, Eeman Iqbal +3
Multi-agent games in dynamic nonlinear settings are challenging due to the time-varying interactions among the agents and the non-stationarity of the (potential) Nash equilibria. I…